llama-3.2-amharic-32k-1024-v6

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llama-3.2-amharic-32k-1024-v6

This model is a fine-tuned version of yosefw/llama-3.2-amharic-32k-1024-v6 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 4.0369
• eval_model_preparation_time: 0.0027
• eval_runtime: 25.3096
• eval_samples_per_second: 102.53
• eval_steps_per_second: 6.44
• epoch: 4.5197
• step: 18898

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.00012
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 200
• num_epochs: 6

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3